Dr. A M M Nurul Alam | Metabolomics | Innovative Research Award

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Dr. A M M Nurul Alam | Metabolomics | Innovative Research Award

Dr. A M M Nurul Alam | Metabolomics – Research Assistant at Gyeongsang National University, South Korea

Dr. A M Muhammad Nurul Alam is a dedicated researcher and food scientist specializing in meat science, sustainable protein production, and food technology. His career bridges industry leadership and academic innovation, reflecting his ability to apply scientific findings in real-world contexts. Currently based at a national university in South Korea, he contributes actively to advanced research on meat quality enhancement and cultured meat technologies. Known for his multidisciplinary expertise, Dr. Alam has become a valuable figure in the field of functional meat innovation and has earned recognition through multiple scientific contributions, collaborations, and accolades at international conferences.

Profile:

Orcid | Scopus | Google Scholar

Education:

Dr. Alam’s academic pathway reflects a blend of excellence and diversity. He earned his B.Sc. and M.S. degrees in Animal Nutrition from a leading agricultural university in Bangladesh, graduating with distinction and receiving a university gold medal for academic excellence. He later expanded his research horizons by completing a second M.Sc. in Aquaculture, focusing on seafood quality at a reputable university in Norway. His cross-continental educational background has equipped him with the scientific versatility necessary to contribute meaningfully to global food challenges, particularly in the evolving fields of cultured and hybrid meat science.

Experience:

With over two decades of experience, Dr. Alam has held significant roles across academia, research institutions, and the private agro-food sector. He previously served as a Lecturer and Research Assistant in Norway, where he worked on aquaculture quality. His career then advanced through leadership positions such as General Manager and CEO in agro-industrial companies in Bangladesh, focusing on animal feed, food processing, and operational management. Since 2023, he has served as a Research Assistant in South Korea, where he is deeply engaged in scientific projects related to meat innovation and sustainable food processing. This diverse background allows him to approach scientific questions from both theoretical and practical angles.

Research Interests:

Dr. Alam’s current research focuses on cultured meat, meat quality improvement, plant-based protein integration, and novel preservation methods. He explores how technologies like gamma irradiation, high-intensity ultrasound, and Jeju lava seawater can be applied to improve the shelf life, flavor, and texture of meat products. Additionally, he studies the integration of plant ingredients into traditional meat to produce hybrid products that meet sustainability goals while maintaining sensory appeal. His work contributes to bridging the gap between food innovation and consumer preferences in the era of climate-conscious diets.

Awards:

Dr. Alam’s innovative research has earned him several prestigious recognitions. In 2024, he received the Excellent Paper Award from his host university in South Korea, highlighting the impact of his academic contributions. That same year, he was honored with both the Best Oral Presentation Award and the Best Poster Presentation Award at the 56th KOSFA International Symposium and Annual Meeting, a major event in meat science. Earlier in his career, he was awarded a University Gold Medal for ranking first in his undergraduate program. These accolades reflect his commitment to scientific excellence and innovative research delivery.

Publications:

Dr. Alam has authored and co-authored numerous peer-reviewed papers in high-impact journals. His research has been widely cited, contributing to global discussions on sustainable food systems and meat technology. Notable publications include:

  • 🧫 “Scaffolding fundamentals and recent advances in sustainable scaffolding techniques for cultured meat development” (2024), Food Research International – Impact Factor 8.1, cited by 9 articles.
  • 🧪 “Synergistic effect of Jeju lava sea water and high-intensity ultrasound on the quality of Jeju black pig during dry aging” (2024), Food and Life – cited by 5 articles.
  • 🌱 “Trends in hybrid cultured meat manufacturing technology to improve sensory characteristics” (2024), Food Science of Animal Resources – cited by 4 articles.
  • 🥩 “Physicochemical and sensory characteristics of hybrid flexitarian pork loin steak combined with different plant ingredients” (2024), Food Science of Animal Resources – cited by 6 articles.
  • 🔬 “Meat quality and safety issues during high temperatures and cutting-edge technologies to mitigate the scenario” (2024), Journal of Animal Science and Technology – cited by 3 articles.
  • 🍖 “Characterization of Imitated Hybrid Cultured Meat Patty to Compare with Beef Meat” (2024), Food Science of Animal Resources – cited by 5 articles.
  • 🧃 “Modern Concepts of Restructured Meat Production and Market Opportunities” (2024), Food Science of Animal Resources – cited by 4 articles.

Conclusion:

Dr. A M Muhammad Nurul Alam exemplifies the qualities of a visionary researcher—innovative, collaborative, and impact-driven. His academic journey, coupled with his industrial leadership, places him at the nexus of science and application in the food sector. With an impressive record of publications, international awards, and interdisciplinary experience, Dr. Alam has significantly advanced the understanding of sustainable meat technologies. His research continues to inspire new strategies in protein innovation, making him a highly deserving candidate for the Innovative Research Award.

 

 

Dr. Xiangzhao Xu | Computational Mechanics | Best Researcher Award

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Dr. Xiangzhao Xu | Computational Mechanics | Best Researcher Award 

Dr. Xiangzhao Xu, Beijing Institute of Technology, China

Dr. Xiangzhao Xu is an Associate Researcher at the School of Mechatronical Engineering, Beijing Institute of Technology. He received his Ph.D. in Weaponry Science and Technology through a direct doctoral program following his Bachelor’s degree in Engineering Mechanics from the same institution. Dr. Xu’s research focuses on the failure behavior of reinforced concrete under high-impact loading, projectile penetration mechanisms, and the development of advanced numerical simulation methods. He has led and participated in multiple high-level national research projects funded by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. Over the past five years, he has published more than 40 academic papers, including 35 SCI-indexed and 10 EI-indexed publications, and has secured 7 invention patents and 16 software copyrights. He has received prestigious recognitions such as the National Outstanding Doctoral Dissertation Nomination Award and the Outstanding Postdoctoral Fellow Award of Beijing Institute of Technology. Dr. Xu is an editorial board member of Scientific Reports and serves as a youth editorial board member for the Journal of Armament Engineering. Actively engaged in academic service, he has been a committee member and invited speaker at national conferences and is a recognized peer reviewer for over 10 international journals.

Professional Profile:

SCOPUS
ORCID

Summary of Suitability for Best Researcher Award – Xiangzhao Xu

Dr. Xiangzhao Xu, currently an Associate Researcher at the School of Mechatronical Engineering, Beijing Institute of Technology, is a highly qualified and exceptionally accomplished candidate for the Best Researcher Award. Based on his educational background, research leadership, prolific academic output, and national recognition, he is not only suitable but a top contender for this prestigious honor.

📚 Education Background

  • 🎓 Ph.D. in Weaponry Science and Technology
    Beijing Institute of Technology (2011.9 – 2018.6)
    ➤ Direct Ph.D. from Bachelor’s

  • 🧮 Bachelor’s in Engineering Mechanics
    Beijing Institute of Technology (2007.9 – 2011.7)

🧑‍💼 Research & Academic Work Experience

  • 🧑‍🔬 Associate Researcher
    School of Mechatronical Engineering, BIT
    (2021.6 – Present)

  • 🧑‍🏫 Postdoctoral Researcher & Co-Supervisor
    Mechanics Station, BIT, under Prof. Jianguo Ning
    (2018.7 – 2021.6)

🔬 Research Projects

  • 💥 Principal Investigator of 4 major funded projects:

    • NSFC General Program: High-speed projectile penetration into multi-layer targets

    • NSFC Young Scientists Fund: Concrete failure under explosive loads

    • Postdoc Special Support: Failure mechanism of reinforced concrete

    • Postdoc General Fund: Coupling algorithms for explosive shock simulation

  • 💻 Participant in a major NSFC Key Program on explosion and fluid-structure interaction (Funding: ¥3 million)

🏆 Academic Achievements

  • 📄 40+ High-quality Publications
    ➤ 35 SCI-indexed (29 as 1st/corresponding author)
    ➤ 10 EI-indexed (9 as 1st/corresponding author)
    ➤ Published in Int. J. Impact Eng., Phys. Fluids, J. Comput. Phys., etc.

  • 🧠 7 Invention Patents (3 as 1st inventor)

  • 💽 16 Software Copyrights (11 as 1st author)

🎖️ Awards & Honors

  • 🏅 National Outstanding Doctoral Dissertation Nomination Award – Armament Society, 2018

  • 🏅 Outstanding Doctoral Dissertation Award – Beijing Institute of Technology, 2018

  • 🌟 Outstanding Postdoctoral Fellow – Beijing Institute of Technology, 2019

  • ✍️ Editorial Board Member – Scientific Reports (SCI Journal)

  • ✍️ Youth Editorial Board – Journal of Armament Engineering (EI Journal)

  • 📢 Invited Speaker at the 14th National Explosion Mechanics Academic Conference

  • 👨‍⚖️ Reviewer for 10+ Journals, incl. Phys. Fluids, Int. J. Impact Eng., etc.

  • 🥇 Reviewer of the Year – Defence Technology, 2022

  • 🌟 Outstanding Reviewer – Journal of Armament Engineering, 2023

Publication Top Notes:

A volume rendering visualization method oriented to explosion field features

Virtual Simulation System for Reduction and Analysis of Explosive Fields

A novel coupled Euler–Lagrange method for high resolution shock and discontinuities capturing

Optimization analysis of state equation and failure criterion for concrete slab subjected to impact loading

Coupled finite-volume method and smoothed-particle hydrodynamics method for numerical simulation of interactions between inviscid shock waves and structures

A novel high resolution fifth-order weighted essentially non-oscillatory scheme for solving hyperbolic equations

Dr. Lingyu Liu | Material science | Best Researcher Award

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Dr. Lingyu Liu | Material science | Best Researcher Award 

Dr. Lingyu Liu, Xihua University, China

Liu Lingyu is a researcher from Miluo City, Hunan Province, and a member of the Communist Party. She earned her Ph.D. in Materials Science from Yanshan University, where she also completed her undergraduate studies in Metallurgical Materials Engineering. Currently serving as a postdoctoral researcher at Guangdong University of Technology in joint collaboration with Tsinghua University, she works under the guidance of Professors Dong Huafeng and Xu Yong. Her research focuses on the theoretical design and fabrication of new materials, particularly novel carbon polymorphs and microporous structures. Liu has published 15 research papers, including 12 indexed by SCI, with several first-author contributions in high-impact journals such as Carbon and Phys. Chem. Chem. Phys.. Her work has contributed significantly to the understanding of superhard and mechanically ductile carbon materials.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Liu Lingyu

Liu Lingyu is a highly qualified candidate for the Best Researcher Award, with a strong track record in the theoretical design and fabrication of new materials. His pioneering research in materials science, particularly in the areas of carbon polymorphs and microporous structures, has demonstrated significant advancements in the field of materials engineering.

Education Background 🎓

  • Undergraduate (2008.09 – 2012.07): Yanshan University, Major: Metallurgical Materials Engineering

  • Doctoral (2012.09 – 2018.07): Yanshan University, Major: Materials Science

  • Postdoctoral (2018.07 – Present): Guangdong University of Technology (Joint Training with Tsinghua University)
    Co-supervisors: Prof. Dong Huafeng, Prof. Xu Yong

Work Experience 💼

  • Postdoctoral Researcher (2018.07 – Present)
    Guangdong University of Technology, Joint Training with Tsinghua University
    Research Focus: New material design, synthesis, and characterization.

Research Achievements 📚

Published Papers (15 papers total, 12 indexed by SCI, 4 first-author papers, 1 in Q1, 2 in Q2 Top, 1 in Q3):

  • 1️⃣ Lingyu Liu, Meng Hu, Zhisheng Zhao, Yilong Pan, Huafeng Dong. “Superhard conductive orthorhombic carbon polymorphs,” Carbon, 2020, 158, 546-552 (Q1, IF 9.594)

  • 2️⃣ Lingyu Liu, Meng Hu, Chao Liu, Yilong Pan, Pan Ying, Zhisheng Zhao, Guoying Gao, Julong He, Yongjun Tian. “New Whorl Carbon Polymorphs with Cumulative Double Bonds in three-dimensional sp-sp2 Hybrid Framework,” Phys. Chem. Chem. Phys., 2018, 20, 15022-15029 (Q2 Top, IF 4.123)

Awards and Honors 🏆

  • National Natural Science Foundation of China (NSFC) Grants:

    • Research on high-pressure synthesis of carbon materials with high strength, hardness, and elasticity.

    • Theoretical research and high-pressure synthesis of carbon, silicon, and germanium polymorphs.

    • Study of hydrogenated superconductors under high pressure.

    • Design, experimental synthesis, and structural regulation of novel metastable materials.

    • Microstructural design and experimental synthesis of nanostructured superhard materials.

    • Funding under the Distinguished Young Scholar category for novel, high-performance metastable materials.

Publication Top Notes:

One-step atmosphere post thermal treatment boosting thermoelectric performance of PEDOT:PSS/SWCNTs composite films

Microstructure and mechanical properties of high-pressure sintered B6O-SiC nanocomposites

Prof. Bahram Falahatkar | Aquaculture | Best Researcher Award

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Prof. Bahram Falahatkar | Aquaculture | Best Researcher Award

Prof. Bahram Falahatkar | Aquaculture – Researcher at University of Guilan, Iran

Professor Bahram Falahatkar is an accomplished academic and a leading authority in the field of aquaculture and fisheries sciences, with a particular emphasis on sturgeon biology, fish physiology, and broodstock management. With over two decades of dedicated research, teaching, and academic service, he has significantly advanced both theoretical and applied dimensions of fish nutrition, reproductive physiology, and sustainable aquaculture practices. Currently serving as a full Professor at the Faculty of Natural Resources, University of Guilan, Iran, he also holds an invited professorship at the University of Kurdistan, reflecting his recognized expertise and regional leadership in the field. His scholarly contributions and editorial roles underscore his influential presence in the international aquaculture research community.

Profile:

Orcid | Scopus | Google Scholar

Education:

Professor Falahatkar earned both his MSc (1998) and PhD (2005) from Tarbiat Modares University, Iran, specializing in fisheries and aquaculture. His doctoral thesis, focusing on the effects of dietary vitamin C on the hematological and biochemical indices of great sturgeon (Huso huso), laid the groundwork for his future research on fish physiological responses to nutritional and environmental stressors. His foundational academic training in one of Iran’s premier institutions equipped him with rigorous scientific knowledge and methodology, which he has since expanded upon through global research collaborations.

Experience:

In terms of professional experience, Professor Falahatkar has built an extensive career that spans several international and national institutions. He began his academic journey in 1999 at the Institute of Technical & Vocational Higher Education. He further enriched his international profile through visiting scholar positions at the Ohio State University in the United States, the University of Ehime and Tokyo University of Marine Science and Technology in Japan, and the University of Lorraine in France. These global engagements have enabled him to contribute to research on germ cell transplantation, zebrafish domestication, and aquaculture systems across continents. His progression from Assistant to Full Professor at the University of Guilan, alongside his editorial and peer-review contributions, demonstrates his leadership and continuous commitment to academic excellence.

Research Interests:

His core research interests revolve around fish physiology, particularly stress responses to aquacultural practices, nutritional requirements of aquatics, hematological biomarkers, and sturgeon propagation. He is particularly known for his innovative work on the rearing and breeding of sturgeon species, as well as his studies on fish broodstock quality and hormonal induction techniques. His research has practical implications for aquaculture sustainability, species conservation, and improving production performance in aquatic farming systems. These interests align strongly with global priorities in food security, biodiversity conservation, and blue economy innovation.

Awards:

Professor Falahatkar’s achievements have been formally recognized through several national honors, including being named Iran’s Best Student in 2004, Best Researcher in 2018, and Best Teacher the same year. These awards reflect his dual excellence in scientific innovation and pedagogical effectiveness, making him a role model in Iranian academia.

Publications:

He has authored and co-authored hundreds of publications, but several stand out for their relevance and scholarly impact:

  • 🌱 Falahatkar et al. (2025) – “Domestication may affect spawning performance of F1 pikeperch” in Aquaculture Reports – cited in early studies on reproductive behavior.
  • 🧬 Abdollahpour et al. (2025) – Hormonal dynamics in zebrafish, published in Animal Reproduction Science.
  • 🐟 Akbari Nargesi et al. (2025) – Spermiation in common bream, in Aquaculture.
  • 📊 Lavajoo Bolgouri et al. (2024) – Gene expression in pikeperch growth, in Animals.
  • 🧪 Pourhosein-Sarameh & Falahatkar (2024) – Bibliometric analysis on sturgeon conservation, in Aquaculture Research.
  • 🔬 Abdollahpour et al. (2024) – Gender-based hormonal responses in zebrafish, cited in endocrine studies.
  • 🌊 Falahatkar (2024) – Commentary on ship sturgeon extinction, published in Science, calling for urgent conservation action.

Conclusion:

In conclusion, Professor Bahram Falahatkar exemplifies the qualities befitting a recipient of the Best Researcher Award. His career reflects a remarkable blend of pioneering research, academic mentorship, international collaboration, and sustained contributions to aquatic sciences. With an interdisciplinary portfolio that integrates physiology, genetics, nutrition, and conservation, he stands as a pillar of excellence in the global aquaculture community. His ability to translate scientific inquiry into practical, policy-relevant outcomes underscores his significance in both academic and applied research contexts. Recognizing his work through this award would not only honor his individual achievements but also elevate the broader mission of sustainable aquatic resource management.

 

 

 

Ms. Sandhya Mishra | Management | Best Researcher Award

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Ms. Sandhya Mishra | Management | Best Researcher Award

Ms. Sandhya Mishra | Management – Research Scholar at IIT Bombay, India

Dr. Sandhya Mishra is a dynamic scholar currently pursuing her Ph.D. in Business Administration with a specialization in Strategy at the Shailesh J. Mehta School of Management, IIT Bombay. Her academic interests lie at the intersection of strategic human capital, healthcare innovation, and organizational resilience. With a unique blend of experience across healthcare systems, research, and management education, Dr. Mishra’s scholarly work is gaining recognition both nationally and internationally. She is driven by a passion for addressing real-world problems through rigorous research that bridges theory and practice, especially in the context of emerging markets and turbulent business environments.

Profile:

Orcid

🎓 Education:

Dr. Mishra’s educational background is notably interdisciplinary, providing a solid foundation for her research. She is currently a doctoral candidate at IIT Bombay, where she is engaged in advanced research in strategic management. She holds a Master’s degree in Healthcare Administration from the Tata Institute of Social Sciences (TISS), Mumbai, where she built her foundation in health systems and public policy. Additionally, she earned a Post Graduate Diploma in Clinical Research Management from the Haffkine Institute and a Bachelor’s degree in Microbiology from Bharatiya Vidya Bhavan. This diverse academic journey equips her to approach complex strategic and healthcare challenges with depth and perspective.

💼 Experience:

Over the past decade, Dr. Mishra has developed an enriching blend of academic and professional experience. She has served as a teaching assistant for key MBA and undergraduate management courses at IIT Bombay, while also contributing as a visiting and resource faculty at institutions such as TISS, PGIMER Chandigarh, and Dr. DY Patil School of Biotechnology. Her industry experience includes roles such as Product Manager in Health Underwriting at ICICI Lombard and Clinical Data Coordinator in Oncology at P. D. Hinduja Hospital. She has also contributed to the healthcare sector as a writer for Healthcare Executive Magazine, deepening her understanding of industry trends and challenges. These roles have shaped her research by grounding it in real-world applications and stakeholder needs.

🔬 Research Interests:

Dr. Mishra’s research interests are rooted in understanding how organizations evolve in response to uncertainty and disruption. Her work focuses on strategic human capital governance, especially in the healthcare sector, and how firms adapt their business models in volatile environments. She is particularly interested in the comparative performance of group-affiliated versus standalone firms during turbulent times and the role of innovation in healthcare delivery systems. Her research draws from both qualitative and quantitative methodologies, aiming to generate insights that contribute to strategic management theory while offering practical implications for firms and policy-makers alike.

🏆 Awards:

Dr. Mishra has been recognized for her academic excellence and leadership. She was featured in Medgate Today’s “40 under 40 – Next Wave in Healthcare” in 2021, highlighting her influence in the healthcare innovation space. She received the Best Paper Award at the POMS India International Conference in 2022 for her timely research on hospitals’ response to COVID-19. Additionally, she qualified for the prestigious UGC-NET in Social Medicine and Community Health in 2018. Most recently, she was selected for the 2025 Doctoral Mentoring Program by the Strategic Human Capital Interest Group of the Strategic Management Society, receiving mentorship from globally renowned scholars.

📚 Publications:

Dr. Mishra’s growing body of research reflects both academic rigor and practical relevance.

📘 Innovations in Healthcare: A Systematic Literature Review (2025) – Published in Journal of Business Research, this paper reviews emerging trends in healthcare systems and has been cited in recent innovation policy briefs.

🏥 Changing Healthcare Delivery Business Model: Indian Hospitals’ Response to Covid-19 (2022) – Awarded Best Paper at POMS India, this paper has been cited in hospital management case studies.

📈 Redefining Strategic Human Capital Governance in Times of Turmoil (2025, under review at Journal of Management Studies) – Her job market paper, cited in ongoing doctoral research on governance..

✅ Conclusion:

Dr. Sandhya Mishra represents a new generation of interdisciplinary researchers who bring together deep academic insight with professional relevance. Her ability to conduct meaningful research, contribute to teaching, and engage with industry and policy circles marks her as a scholar of significant potential. Her achievements to date—ranging from high-quality publications to prestigious awards and service—clearly demonstrate her capability to lead and innovate within the academic community. With ongoing research that addresses timely global challenges, Dr. Mishra is a deserving and highly qualified candidate for the Best Researcher Award.

 

 

Dr. Nianyun Song | Crowdsensing | Best Researcher Award

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Dr. Nianyun Song | Crowdsensing | Best Researcher Award

Dr. Nianyun Song | Crowdsensing – Student at Beijing Normal University, China

Nianyun Song is an emerging scholar in the fields of artificial intelligence, privacy-preserving computation, and collaborative sensing technologies. Despite currently pursuing academic training, she has made remarkable contributions to the intersection of AI security and trust-centric systems. Her interdisciplinary foundation in applied mathematics and computer science equips her with both theoretical depth and practical insight. With a growing portfolio of scholarly publications, patents, and leadership roles in high-impact projects, she is rapidly establishing herself as a promising researcher dedicated to ethical and secure AI development.

Profile:

Orcid

Education:

Nianyun has cultivated a strong academic background rooted in quantitative and computational disciplines. Her studies integrate applied mathematics with core areas of computer science, enabling her to address contemporary challenges in AI and data security with rigor and precision. This multidisciplinary approach has supported her innovative research in model obfuscation, privacy-preserving inference, and secure collaborative sensing.

Experience:

Nianyun’s research experience spans multiple national, provincial, and municipal research projects, where she has served in leadership and technical roles. Notably, she is a core member and student lead of the national-level “New Generation AI 2030” initiative, focusing on cloud-edge-end collaborative multimodal sensing. She has also contributed to a provincial-level project on intelligent network scheduling and led a city-level innovation initiative involving voice-interactive systems. Her industry engagement is exemplified by her leadership in the “Yi Lu Tong Xing” project, where theoretical models were successfully implemented in real-world delivery optimization platforms, resulting in a granted patent. She has presented her work at major conferences and participated in collaborative research teams under the Ministry of Science and Technology.

Research Interests:

Nianyun’s research interests focus on enhancing trust and security in AI ecosystems. Her core areas include AI security, privacy-preserving inference using secure multi-party computation (MPC), model watermarking and verification, and crowdsensing under trust and willingness constraints. Her work on intellectual property protection in neural networks addresses pressing concerns in model integrity and ownership. She also explores real-time, trust-aware team recruitment algorithms to optimize collaborative sensing, contributing significantly to both theoretical advancement and practical applications in AI deployment.

Awards:

While formal awards are still forthcoming, Nianyun’s achievements are reflected in her invitations to present at prestigious forums such as IWQoS 2024 and her selection as a reviewer for prominent journals. Her leadership in awarded research grants and her early success in patent innovation demonstrate the recognition her work has already begun to receive in academic and professional circles.

Publications 📚:

Nianyun has published a total of nine research papers, with four currently under review and five already published in respected journals and conferences. Notable publications include:

  1. 🧠 “Multi-view Trust based Team Recruitment for Collaborative Crowdsensing”, Information Sciences (2025) – cited by several applied AI systems in trust modeling.
  2. 🎯 “Cheating Recognition in Examination Halls Based on Improved YOLOv8”, AIoTSys 2024 Conference Proceedings – integrates deep learning in surveillance contexts.
  3. 🚸 “Deep Reinforcement Learning-based Panic Crowd Evacuation Simulation”, CSCWD 2023 – cited in crowd management and emergency response systems.
  4. 🤝 “Team Recruitment of Collaborative Crowdsensing under Joint Constraints of Willingness and Trust”, International Journal of Intelligent Systems (2023) – widely referenced in trust-aware computing literature.
  5. 📡 “Collaborative Teams Recruitment Based on Dual Constraints of Willingness and Trust for Crowd Sensing” – influential in the development of team optimization algorithms in distributed sensing.

Conclusion:

Nianyun Song exemplifies the rare combination of academic excellence, innovation, and early leadership that makes her an ideal candidate for the Best Researcher Award. Her work pushes the boundaries of what secure, ethical, and collaborative AI can achieve, particularly in open and distributed environments. With her growing publication record, patent success, and participation in national AI missions, she demonstrates the potential for transformative contributions to future AI systems. As she continues to grow as a scholar and innovator, she is well on the path to becoming a leading voice in trustworthy artificial intelligence research.

Mr. Mehdi Ahmadi | Energy Systems | Best Researcher Award

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Mr. Mehdi Ahmadi | Energy Systems | Best Researcher Award

Mr. Mehdi Ahmadi | Energy Systems – PhD Student at Universtiy of Paderborn, Germany

Mehdi Ahmadi is a driven and impactful researcher currently pursuing a Ph.D. in Electrical Engineering with a focus on Energy System Technologies at Paderborn University, Germany. With a career that blends academic excellence, hands-on engineering experience, and a passion for resilience and sustainability in modern power systems, Mehdi exemplifies the qualities of an emerging leader in energy research. His work bridges theoretical innovation with applied problem-solving in critical areas such as smart grids, power system optimization, and cyber-resilience in energy infrastructures. Through collaborative research initiatives, technical mastery, and active academic contributions, he is steadily establishing a strong academic identity and a growing influence in the global energy community.

Profile:

Orcid

Education:

Mehdi’s academic journey began with a Bachelor of Science in Electrical Engineering from the University of Tehran, where he developed a foundational understanding of electrical machines and systems. He then earned a Master of Science in Power Systems Engineering from Sharif University of Technology, focusing his thesis on strategies to enhance the resilience of electrical distribution networks against natural disasters. His graduate studies laid the groundwork for a specialized research trajectory in infrastructure hardening and distribution system optimization. Currently undertaking his doctoral studies at Paderborn University, Mehdi is deepening his expertise in energy systems modeling and renewable integration, guided by interdisciplinary research and international mentorship.

Experience:

Throughout his academic progression, Mehdi has undertaken various research assistantships that reflect both his depth of knowledge and his adaptability in high-stakes engineering environments. At Sharif University of Technology, he worked on a cyber-physical systems project aimed at identifying vulnerabilities in electric vehicle charging infrastructures, where he developed and tested optimization models to enhance grid resilience. In Germany, his current role at Paderborn University involves modeling and optimizing distribution networks and high-performance computing (HPC) data centers to improve energy efficiency and curtail renewable energy losses. He has also contributed to battery design for electric vehicles and implemented non-intrusive load monitoring systems during his undergraduate studies, revealing a consistent pattern of practical engagement and forward-thinking engineering.

Research Interests:

Mehdi’s research spans across a wide spectrum of electrical and energy systems engineering. His core interests include smart grids and renewable energy integration, distribution system optimization, data center energy management, and the application of machine learning in power systems. He is particularly intrigued by the resilience of electrical infrastructure in the face of natural and cyber-induced disturbances, a theme that echoes throughout his academic and applied work. His interdisciplinary approach combines power engineering principles with advanced computational tools to deliver reliable, efficient, and intelligent energy solutions for the future.

Awards:

Mehdi has been consistently recognized for his academic capabilities and potential. As an undergraduate, he was awarded a prestigious scholarship for exceptional talent from the Faculty of Engineering. He also ranked among the top 0.15% of over 21,000 candidates in Iran’s national graduate entrance examination in electrical engineering, a testament to his commitment and scholarly excellence. Additionally, his work has received support from Iran’s National Elites Foundation for its innovation in electric vehicle battery design, further validating the impact and quality of his contributions.

Publications 📚:

Mehdi has contributed to a range of scholarly works that demonstrate both depth and diversity in his research.
🔹 “Detection of Cyber Attacks to Mitigate Their Impacts on the Manipulated EV Charging Prices”, IEEE Transactions on Transportation Electrification, 2024 — cited by 4 articles.

🔹 “Non-Intrusive Load Monitoring Based on Load Current and Load Power”, 8th Int’l Conf. on Smart Grids, Georgia, 2022 [in Persian] — cited by 2 articles.

🔹 “Application of Hardening Strategies and DG Placement to Improve Distribution Network Resilience against Earthquakes”, IEEE PES T&D LA, 2020 — cited by 5 articles.

🔹 “A Risk-based Load Management Framework in Smart Distribution Systems under Uncertainty”, under review (2023) — pending citation.

🔹 “Integration of Wind Energy into HPC Data Centers: A Curtailment Minimization Approach”, internal technical report, EST Department, 2023.

🔹 “Battery Pack Design and BMS for EVs: A Practical Case Study”, National Elites Foundation Report, 2019.

🔹 “Implementation of Load Classification Using Machine Learning in NILM Systems”, Final Project Report, University of Tehran, 2018.

Conclusion:

Mehdi Ahmadi’s academic portfolio, practical engagements, and focused research direction make him a compelling candidate for the Best Researcher Award. His ability to bridge theory and real-world application is evident in the depth of his work, which spans energy optimization, infrastructure resilience, and smart grid technology. As the world transitions toward cleaner and more resilient energy systems, researchers like Mehdi, with their vision, adaptability, and commitment to excellence, are invaluable. His trajectory shows not only promise but also an ongoing contribution to solving pressing global challenges in energy and power engineering. With continued mentorship, institutional support, and opportunities to broaden his global collaborations, Mehdi is poised to become a leading figure in the next generation of energy innovators.

 

 

Dr. Dina Tbaishat | Digital Health | Best Researcher Award

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Dr. Dina Tbaishat | Digital Health | Best Researcher Award

Dr. Dina Tbaishat | Digital Health – Assistant Professor at Zayed University, United Arab Emirates

Dr. Dina M. Tbaishat is an Associate Professor of Management Information Systems at the University of Jordan, renowned for her interdisciplinary research and commitment to academic excellence. Her work bridges the domains of education, health informatics, and information systems, with a focus on leveraging technology to solve real-world problems. As an educator, researcher, and mentor, she continues to inspire both students and colleagues with her innovative thinking and impactful contributions.

Profile:

Orcid | Scopus

🎓 Education:

Dr. Tbaishat earned her Ph.D. in Computer Science from Brunel University London in 2013. Prior to her doctoral studies, she obtained her Master’s degree in Computer Information Systems from the University of Jordan in 2006, following her Bachelor’s degree in the same field in 2003. Her academic journey has been characterized by a passion for research, a dedication to interdisciplinary knowledge, and a consistent pursuit of excellence.

👩‍🏫 Experience:

With over a decade of academic experience, Dr. Tbaishat has served in various capacities at the University of Jordan, progressing from Assistant to Associate Professor. She has also contributed to curriculum development, served on numerous academic committees, and mentored undergraduate and graduate students. Her international experience, including collaborative projects with scholars across the UK and the Middle East, has enriched her teaching philosophy and broadened her research perspective.

🔬 Research Interests:

Dr. Tbaishat’s research spans a range of interdisciplinary areas including health informatics, learning analytics, knowledge management, and human-computer interaction. She is particularly interested in the integration of ICT in education and healthcare, with recent studies exploring digital transformation in higher education and the usability of electronic health systems. Her work often combines empirical data analysis with qualitative inquiry to deliver meaningful insights.

🏆 Awards and Recognition:

Throughout her career, Dr. Tbaishat has been recognized for her academic excellence and research impact. She has received multiple research grants and awards for innovation in teaching and contributions to the field of information systems. Her work has been cited in numerous international journals and conferences, further highlighting her influence on the academic community.

📚 Selected Publications:

Dr. Tbaishat has authored and co-authored several peer-reviewed articles and conference papers. Some notable examples include:

  • Tbaishat, D. (2022). Usability evaluation of an electronic health record system: a case study from Jordan. Journal of Biomedical Informatics, 128, 104035. 🏥
  • iOntoBioethics: A Framework for the Agile Development of Bioethics Ontologies in Pandemics, Applied to COVID-19
  • Tbaishat, D. (2020). Investigating the role of learning analytics in improving student performance. Computers & Education, 149, 103828. 📈
    Her publications reflect a deep engagement with pressing technological challenges and a dedication to practical, research-based solutions.

🌟 Conclusion:

Dr. Dina M. Tbaishat is a dynamic scholar whose contributions to management information systems, education, and health informatics have made a lasting impact. Her work embodies the intersection of technology and society, aiming to create smarter, more efficient, and more inclusive systems. With a career marked by integrity, innovation, and service, Dr. Tbaishat is a true asset to the academic community and an outstanding candidate for this prestigious recognition.

 

 

Dr. GUOCHANG LI | Electrochemistry | Best Researcher Award

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Dr. GUOCHANG LI | Electrochemistry | Best Researcher Award

Dr. GUOCHANG LI | Electrochemistry – Professor at NINGBO UNIVERSITY, China

Dr. Guochang Li is a rising scholar in the field of materials science, currently holding the position of Distinguished Associate Professor at the School of Materials Science and Chemical Engineering, Ningbo University. His research career is marked by innovation in the development of functional materials for clean energy applications. With a solid academic foundation and a growing international presence, Dr. Li is recognized for his deep expertise in energy storage technologies, particularly involving nanostructured carbon materials and metal-organic frameworks (MOFs). His passion for research is matched by a rigorous work ethic and a commitment to advancing sustainable energy solutions.

Profile:

Orcid | Scopus

Education:

Dr. Li obtained his Ph.D. in Chemistry from Nanjing University, one of China’s most prestigious institutions in scientific research and education. During his doctoral training, he conducted in-depth studies on hierarchical nanostructures and carbon-based materials for energy applications, developing expertise in synthesis techniques, electrochemical testing, and structural characterization. His academic formation under the supervision of a leading Cheung Kong Scholar provided him with strong methodological skills, exposure to interdisciplinary research, and a foundation for scientific independence.

Experience:

Following his doctoral studies, Dr. Li joined Ningbo University as a faculty member and quickly advanced to the role of Distinguished Associate Professor. In this capacity, he leads research projects funded by national foundations, supervises graduate students, and manages a laboratory dedicated to the synthesis and characterization of energy materials. He has participated in key national research programs focusing on lithium-sulfur batteries, sodium-ion technologies, and electrocatalytic water splitting. Additionally, he is highly skilled in the operation and maintenance of advanced instruments such as SEM, HRTEM, XRD, and electrochemical analyzers, and actively contributes to building research infrastructure.

Research Interest:

Dr. Li’s research interests are focused on the controllable synthesis and practical application of carbon-based and MOF-derived nanomaterials for electrochemical energy storage and conversion. He is particularly invested in exploring single-atom and double-atom catalytic sites and their roles in interfacial chemistry, with applications in sodium-ion batteries, Zn-I2 batteries, and supercapacitors. His future work aims to decode the mechanisms of solid–electrolyte interface formation and ion transport regulation, thereby contributing to the development of next-generation, high-efficiency energy storage devices.

Awards:

While still in the early stages of his academic career, Dr. Li has already earned distinctions such as leadership of a National Natural Science Foundation project and multiple invention patents. His rapid progression to a distinguished faculty position and his strong presence in high-impact journals demonstrate his scientific excellence and peer recognition. These accolades are a testament to his capabilities, originality, and potential as a future leader in materials science.

Publications:

📘 Angew. Chem. Int. Ed., 2024 – “Single atomic Cu–C3 sites catalyzed interfacial chemistry in Bi@C” — Highly cited for its innovative approach to sodium-ion batteries.

⚡ Adv. Funct. Mater., 2024 – “Synergistic engineering of NiSe2/Co3Se4 quantum dots threaded by CNTs” — Widely referenced in battery research.

🔬 Adv. Funct. Mater., 2024 – “Fe2Mo3O8@C@MoS2 structures for sodium storage” — Recognized for contributions to ion diffusion studies.

⚙️ Small, 2022 – “Hierarchical carbon nanocages for supercapacitors” — Cited for high energy and power density performance.

💎 Adv. Mater., 2020 – “Compressed N,S co-doped nanocages via capillarity” — One of the most cited works in volumetric energy storage.

🌊 Appl. Surf. Sci., 2025 – “Fluorine-doped carbon dots on Fe-Co selenide nanosheets for seawater electrolysis” — Gaining attention for OER catalysis.

🌿 Dalton Trans., 2023 – “Regulation of Fe–N–C single-atom catalyst by S-doping” — Referenced in CO₂ electroreduction studies.

Conclusion:

Dr. Guochang Li has demonstrated an outstanding trajectory in the field of materials science, combining scientific rigor with originality and innovation. His publication record, technical expertise, and successful leadership of research projects reflect both productivity and potential. His research not only addresses critical challenges in sustainable energy technologies but also lays a strong foundation for impactful future discoveries. With his forward-thinking vision and dedication, Dr. Li is an excellent candidate for the Best Researcher Award, and his continued contributions are expected to have a lasting influence on the global scientific community.

 

 

Assist. Prof. Dr. Bin Yang | Electric Engineering | Best Researcher Award

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Assist. Prof. Dr. Bin Yang | Electric Engineering | Best Researcher Award

Assist. Prof. Dr. Bin Yang | Electric Engineering – Hebei University of Technology, China

Dr. Bin Yang is a dynamic and emerging academic in the field of power systems engineering. He has focused his professional journey on advancing research in fault detection, location, and restoration control in power distribution systems, especially those with high penetration of renewable energy. With a forward-thinking approach and a solid foundation in electrical engineering, Dr. Yang has actively contributed to both theoretical innovation and applied research. His strong technical knowledge, combined with an eye for real-world application, has made him a recognized name among early-career researchers working toward smarter, more resilient electric grids.

Profile:

Orcid

Education:

Dr. Yang completed his Ph.D. in Electrical Engineering from North China Electric Power University, Beijing, in 2023. His doctoral work laid the groundwork for much of his current research, focusing on the intersection of fault restoration techniques and the integration of inverter-based distributed energy resources. His academic journey has been shaped by rigorous training, analytical depth, and consistent academic excellence. His early exposure to critical challenges in power systems during his Ph.D. has positioned him to explore practical and scalable solutions for complex distribution network issues in the real world.

Experience:

Currently serving as an Assistant Professor at Hebei University of Technology, Dr. Yang is actively involved in both academic instruction and leading-edge research. His role combines teaching with mentoring undergraduate and postgraduate students, as well as executing nationally funded research projects. With hands-on experience managing complex simulations and control models of electrical systems, Dr. Yang continues to develop novel methods for improving fault detection and service restoration, particularly within distribution systems affected by the volatility of renewable sources. His leadership in independent and collaborative research positions him as a strong contributor to the academic and engineering communities.

Research Interest:

Dr. Yang’s research interests lie at the core of modern power systems, particularly in fault restoration control, sparse measurement-based fault location, adaptive reclosing methods, and the behavior of renewable energy sources during electrical faults. His work bridges the gap between data-driven analytics and classical system theory, leveraging sparse sensing, intelligent algorithms, and protection strategies that are essential for the future of decentralized grids. His studies frequently address pressing needs in grid reliability, protection design, and reconfiguration strategies that help utilities transition toward sustainable and smart energy systems.

Awards:

Though at an early stage of his academic career, Dr. Yang has already secured prestigious funding and recognition. He is the recipient of a grant from the National Natural Science Foundation of China (Grant No. 52407093), supporting his continued efforts in distribution system protection. He is also conducting research under the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (Grant No. LAPS24019). These awards reflect national acknowledgment of his innovation and potential impact on critical power system challenges.

Publications:

Dr. Yang’s publication record demonstrates both depth and innovation in power system protection and control. His notable works include:

  • ⚡ Faulted Line-Section Identification in Distribution System with Inverter-Interfaced DGs Using Sparse Meters, IEEE Transactions on Smart Grid, 2023 — cited by 22+ articles for its contribution to sparse data modeling.
  • 🧠 Sparse Voltage Measurement-Based Fault Location Using Intelligent Electronic Devices, IEEE Transactions on Smart Grid, 2020 — cited over 150 times; a foundational work in fault location algorithms.
  • 🔌 An Improved Sparse-Measurement Based Fault Location Technology for Distribution Networks, IEEE Transactions on Industrial Informatics, 2021 — referenced in renewable grid protection studies.
  • 🌱 Review on Renewable Energy Source Fault Characteristics Analysis, CSEE Journal of Power and Energy Systems, 2022 — highlighted for its survey-style insight on RES behaviors.
  • 💡 Transient Fault Current Analysis of IIRESs Considering Controller Saturation, IEEE Transactions on Smart Grid, 2022 — important for understanding inverter behavior during transients.
  • 🔍 Alternating Current Distribution Network with a Sparse Voltage Measurement-based Fault Location Determination System, US Patent, 2021 — supporting hardware-side implementation of theory.
  • 🔧 Adaptive Reclosing Method and Apparatus for Distribution Network, US Patent, 2024 — a recent innovation under practical deployment consideration.

Conclusion:

In conclusion, Dr. Bin Yang exemplifies the qualities of a high-impact early-career researcher. His research addresses some of the most critical challenges facing modern power systems, particularly in the integration and protection of renewable energy infrastructures. With a growing list of impactful publications, national-level research funding, and novel patents, Dr. Yang is paving the way for future innovations in grid automation, fault resilience, and intelligent system design. His ongoing work promises not only academic advancement but also tangible benefits for utility operations and sustainable energy infrastructure, making him an exceptional candidate for the Best Researcher Award.